audit-skills

To perform a security audit on AI skills, run a non-intrusive static analysis to detect data leakage, malicious patterns, and obfuscated payloads without executing the skill code.

Non-intrusive static analysis for cross-platform threat detection identifies vulnerabilities like privilege escalation and data leaks across Windows, macOS, Linux, and mobile platforms without running the code.

Yes, you can use static analysis to find obfuscated payloads in AI skill bundles by scanning for malicious patterns and stability risks while assessing cross-platform compliance.

Cross-platform security assessment works for mobile Android and iOS AI skills by applying platform-specific threat detection to identify vulnerabilities, data leaks, and stability issues.

The best way to check compliance and mitigate risks in AI bundles is through expert security auditing that provides risk-mitigation guidance based on static analysis of malicious patterns.

Static analysis focuses on non-intrusive code inspection to identify vulnerabilities, meaning it may not detect dynamic privilege escalation occurring only during runtime execution of AI skills.